forked from lebedov/msgpack-numpy
-
Notifications
You must be signed in to change notification settings - Fork 0
/
msgpack_numpy.py
287 lines (260 loc) · 11.6 KB
/
msgpack_numpy.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
#!/usr/bin/env python
"""
Support for serialization of numpy data types with msgpack.
"""
# Copyright (c) 2013-2015, Lev Givon
# All rights reserved.
# Distributed under the terms of the BSD license:
# http://www.opensource.org/licenses/bsd-license
import os
import numpy as np
import msgpack
# Fall back to pure Python
if os.environ.get('MSGPACK_PUREPYTHON'):
import msgpack.fallback as _packer
import msgpack.fallback as _unpacker
else:
try:
import msgpack._packer as _packer
import msgpack._unpacker as _unpacker
except:
import msgpack.fallback as _packer
import msgpack.fallback as _unpacker
def encode(obj):
"""
Data encoder for serializing numpy data types.
"""
if isinstance(obj, np.ndarray):
return {'nd': True,
'type': obj.dtype.str,
'shape': obj.shape,
'data': obj.tostring()}
elif isinstance(obj, (np.bool_, np.number)):
return {'nd': False,
'type': obj.dtype.str,
'data': obj.tostring()}
elif isinstance(obj, complex):
return {'complex': True,
'data': obj.__repr__()}
else:
return obj
def decode(obj):
"""
Decoder for deserializing numpy data types.
"""
try:
if 'nd' in obj:
if obj['nd'] is True:
return np.fromstring(obj['data'],
dtype=np.dtype(obj['type'])).reshape(obj['shape'])
else:
return np.fromstring(obj['data'],
dtype=np.dtype(obj['type']))[0]
elif 'complex' in obj:
return complex(obj['data'])
else:
return obj
except KeyError:
return obj
# Maintain support for msgpack < 0.4.0:
if msgpack.version < (0, 4, 0):
class Packer(_packer.Packer):
def __init__(self, default=encode,
encoding='utf-8',
unicode_errors='strict',
use_single_float=False,
autoreset=1):
super(Packer, self).__init__(default=default,
encoding=encoding,
unicode_errors=unicode_errors,
use_single_float=use_single_float,
autoreset=1)
class Unpacker(_unpacker.Unpacker):
def __init__(self, file_like=None, read_size=0, use_list=None,
object_hook=decode,
object_pairs_hook=None, list_hook=None, encoding='utf-8',
unicode_errors='strict', max_buffer_size=0):
super(Unpacker, self).__init__(file_like=file_like,
read_size=read_size,
use_list=use_list,
object_hook=object_hook,
object_pairs_hook=object_pairs_hook,
list_hook=list_hook,
encoding=encoding,
unicode_errors=unicode_errors,
max_buffer_size=max_buffer_size)
else:
class Packer(_packer.Packer):
def __init__(self, default=encode,
encoding='utf-8',
unicode_errors='strict',
use_single_float=False,
autoreset=1,
use_bin_type=1):
super(Packer, self).__init__(default=default,
encoding=encoding,
unicode_errors=unicode_errors,
use_single_float=use_single_float,
autoreset=1,
use_bin_type=1)
class Unpacker(_unpacker.Unpacker):
def __init__(self, file_like=None, read_size=0, use_list=None,
object_hook=decode,
object_pairs_hook=None, list_hook=None, encoding='utf-8',
unicode_errors='strict', max_buffer_size=0,
ext_hook=msgpack.ExtType):
super(Unpacker, self).__init__(file_like=file_like,
read_size=read_size,
use_list=use_list,
object_hook=object_hook,
object_pairs_hook=object_pairs_hook,
list_hook=list_hook,
encoding=encoding,
unicode_errors=unicode_errors,
max_buffer_size=max_buffer_size,
ext_hook=ext_hook)
def pack(o, stream, default=encode, **kwargs):
"""
Pack an object and write it to a stream.
"""
kwargs['default'] = default
packer = Packer(**kwargs)
stream.write(packer.pack(o))
def packb(o, default=encode, **kwargs):
"""
Pack an object and return the packed bytes.
"""
kwargs['default'] = default
return Packer(**kwargs).pack(o)
def unpack(stream, object_hook=decode, encoding='utf-8', **kwargs):
"""
Unpack a packed object from a stream.
"""
kwargs['object_hook'] = object_hook
return _unpacker.unpack(stream, encoding=encoding, **kwargs)
def unpackb(packed, object_hook=decode, encoding='utf-8', **kwargs):
"""
Unpack a packed object.
"""
kwargs['object_hook'] = object_hook
return _unpacker.unpackb(packed, encoding=encoding, **kwargs)
load = unpack
loads = unpackb
dump = pack
dumps = packb
def patch():
"""
Monkey patch msgpack module to enable support for serializing numpy types.
"""
setattr(msgpack, 'Packer', Packer)
setattr(msgpack, 'Unpacker', Unpacker)
setattr(msgpack, 'load', unpack)
setattr(msgpack, 'loads', unpackb)
setattr(msgpack, 'dump', pack)
setattr(msgpack, 'dumps', packb)
setattr(msgpack, 'pack', pack)
setattr(msgpack, 'packb', packb)
setattr(msgpack, 'unpack', unpack)
setattr(msgpack, 'unpackb', unpackb)
if __name__ == '__main__':
try:
range = xrange # Python 2
except NameError:
pass # Python 3
from unittest import main, TestCase, TestSuite
class test_numpy_msgpack(TestCase):
def setUp(self):
patch()
def encode_decode(self, x):
x_enc = msgpack.packb(x)
return msgpack.unpackb(x_enc)
def test_numpy_scalar_bool(self):
x = np.bool_(True)
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
x = np.bool_(False)
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
def test_numpy_scalar_float(self):
x = np.float32(np.random.rand())
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
def test_numpy_scalar_complex(self):
x = np.complex64(np.random.rand()+1j*np.random.rand())
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
def test_scalar_float(self):
x = np.random.rand()
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
def test_scalar_complex(self):
x = np.random.rand()+1j*np.random.rand()
x_rec = self.encode_decode(x)
assert x == x_rec and type(x) == type(x_rec)
def test_list_numpy_float(self):
x = [np.float32(np.random.rand()) for i in range(5)]
x_rec = self.encode_decode(x)
assert all(map(lambda x, y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
def test_list_numpy_float_complex(self):
x = [np.float32(np.random.rand()) for i in range(5)] + \
[np.complex128(np.random.rand()+1j*np.random.rand()) for i in range(5)]
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
def test_list_float(self):
x = [np.random.rand() for i in range(5)]
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
def test_list_float_complex(self):
x = [(np.random.rand()+1j*np.random.rand()) for i in range(5)]
x_rec = self.encode_decode(x)
assert all(map(lambda x, y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
def test_list_str(self):
x = ['x'*i for i in range(5)]
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
def test_dict_float(self):
x = {'foo': 1.0, 'bar': 2.0}
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x.values(), x_rec.values())) and \
all(map(lambda x,y: type(x) == type(y), x.values(), x_rec.values()))
def test_dict_complex(self):
x = {'foo': 1.0+1.0j, 'bar': 2.0+2.0j}
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x.values(), x_rec.values())) and \
all(map(lambda x,y: type(x) == type(y), x.values(), x_rec.values()))
def test_dict_str(self):
x = {'foo': 'xxx', 'bar': 'yyyy'}
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x.values(), x_rec.values())) and \
all(map(lambda x,y: type(x) == type(y), x.values(), x_rec.values()))
def test_dict_numpy_float(self):
x = {'foo': np.float32(1.0), 'bar': np.float32(2.0)}
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x.values(), x_rec.values())) and \
all(map(lambda x,y: type(x) == type(y), x.values(), x_rec.values()))
def test_dict_numpy_complex(self):
x = {'foo': np.complex128(1.0+1.0j), 'bar': np.complex128(2.0+2.0j)}
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x.values(), x_rec.values())) and \
all(map(lambda x,y: type(x) == type(y), x.values(), x_rec.values()))
def test_numpy_array_float(self):
x = np.random.rand(5).astype(np.float32)
x_rec = self.encode_decode(x)
assert np.all(x == x_rec) and x.dtype == x_rec.dtype
def test_numpy_array_complex(self):
x = (np.random.rand(5)+1j*np.random.rand(5)).astype(np.complex128)
x_rec = self.encode_decode(x)
assert np.all(x == x_rec) and x.dtype == x_rec.dtype
def test_numpy_array_float_2d(self):
x = np.random.rand(5,5).astype(np.float32)
x_rec = self.encode_decode(x)
assert np.all(x == x_rec) and x.dtype == x_rec.dtype
def test_numpy_array_str(self):
x = np.array(['aaa', 'bbbb', 'ccccc'])
x_rec = self.encode_decode(x)
assert np.all(x == x_rec) and x.dtype == x_rec.dtype
def test_list_mixed(self):
x = [1.0, np.float32(3.5), np.complex128(4.25), 'foo']
x_rec = self.encode_decode(x)
assert all(map(lambda x,y: x == y, x, x_rec)) and all(map(lambda x,y: type(x) == type(y), x, x_rec))
main()